Beyond serial passages: new methods for predicting the emergence of resistance to novel antibiotics

被引:68
作者
Luis Martinez, Jose [1 ]
Baquero, Fernando [2 ]
Andersson, Dan I. [3 ]
机构
[1] CSIC, Ctr Nacl Biotecnol, Dept Biotecnol Microbiana, Madrid, Spain
[2] Ramon y Cajal Univ Hosp, Dept Microbiol, IRYCIS, CIBERESP, Madrid 28034, Spain
[3] Uppsala Univ, Dept Med Biochem & Microbiol, SE-75123 Uppsala, Sweden
基金
瑞典研究理事会;
关键词
IN-VIVO FITNESS; BIOLOGICAL COST; DRUG-RESISTANCE; PSEUDOMONAS-AERUGINOSA; CAENORHABDITIS-ELEGANS; COMPENSATORY MUTATIONS; INTRINSIC RESISTOME; BETA-LACTAMASES; EVOLUTION; SELECTION;
D O I
10.1016/j.coph.2011.07.005
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Market launching of a new antibiotic requires knowing in advance its benefits and possible risks, and among them how rapidly resistance will emerge and spread among bacterial pathogens. This information is not only useful from a public health point of view, but also for pharmaceutical industry, in order to reduce potential waste of resources in the development of a compound that might be discontinued at the short term because of resistance development. Most assays currently used for predicting the emergence of resistance are based on culturing the target bacteria by serial passages in the presence of increasing concentrations of antibiotics. Whereas these assays may be valuable for identifying mutations that might cause resistance, they are not useful to establish how fast resistance might appear, neither to address the risk of spread of resistance genes by horizontal gene transfer. In this article, we review recent information pertinent for a more accurate prediction on the emergence and dispersal of antibiotic resistance.
引用
收藏
页码:439 / 445
页数:7
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